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Case Study
Orquest uses AI-driven workforce management to optimize staff scheduling for companies like McDonald’s and ZARA, improving efficiency and employee satisfaction. While AI streamlines scheduling and reduces administrative workload, challenges remain in ensuring data quality, digital literacy, and maintaining the human touch needed to address nuanced employee needs and well-being.
- Keywords:
- Scheduling Personnel management Artificial intelligence
- Resource Type:
- Case Study
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Case Study
Artificial intelligence is transforming hospitality by introducing “digital workers”—AI agents managed like human employees. While this approach promises greater efficiency and accountability, it raises concerns about job displacement, workplace competition, and the practical challenges of integrating AI into traditional organizational structures and departmental roles.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hospitality industry -- Information technology Hotel management Artificial intelligence
- Resource Type:
- Case Study
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Case Study
Booking.com’s AI Trip Planner, powered by ChatGPT, offers travelers a conversational interface for personalized travel recommendations and real-time property Q&A. Fully integrated with the Booking.com app, it streamlines trip planning and booking. However, its effectiveness depends on user input, and GenAI’s limitations in filtering spam or false information may affect reliability.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Tourism -- Technological innovations Tourism -- Decision making Artificial intelligence
- Resource Type:
- Case Study
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Case Study
FlyZoo Hotel, as the first “Future Hotel” of Alibaba Group, integrates AI throughout its operations, featuring facial recognition check-in, in-room AI voice assistants, and service robots for concierge and room service. While these innovations enhance efficiency and personalization, challenges include high costs, limited human interaction, and the need for ongoing staff training and technological upgrades.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hospitality industry -- Information technology Hotel management Artificial intelligence
- Resource Type:
- Case Study
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Video
In this talk I examine the role of humanities research where nearly every aspect of human experience is turned into data and analysed, in many cases to model, predict and modify behaviour. As a result and through advances in computing technology, artificial intelligence systems have colonised traditional areas of humanities research, including linguistics and language studies. Today, large multimodal models (LMM) can process text, images, videos and sound, potentially leading to the development of algorithmic approaches to modelling society and culture. In this talk, I explore how humanities researchers can leverage the benefits and mitigate the risks of these latest technological developments and prepare scholars for the challenges which lie ahead. I provide some examples from the Digital Media and Society Institute (DMSI) at the University of Liverpool where communication and media researchers are working with data scientists to investigate how multimodal information is re-contextualised across online media platforms. This includes new methods for studying information distortions (e.g. misinformation, disinformation and memes) and public reactions to key events.
Event date: 31/03/2025
Speaker: Professor Kay O’HALLORAN (University of Liverpool)
Hosted by: Faculty of Humanities
- Keywords:
- Research Humanities -- Research Artificial intelligence
- Resource Type:
- Video
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Video
The rapid development of artificial intelligence and large language models have led to the language industry and translation and interpreting education programs re-imagining how to engage with these technologies. While some language industry stakeholders seek to leverage these tools to support the provision of language services and language access, others have sought to resist this technological incursion on ethical and professional grounds. The impact of these tools is undoubtedly far reaching, to the point that trainers and educators must now respond to these developments. This talk reviews some of the ways in which artificial intelligence, large language models, and translation and interpreting technologies can be leveraged in educational and training programs while offering possible means to resist uncritical adoption of these tools. The talk provides suggestions on how university programs can prepare future graduates to interface with these technologies and drive ethical and responsible technology use.
Event date: 13/02/2025
Speaker: Dr. Christopher D. MELLINGER (The University of North Carolina at Charlotte)
Hosted by: Faculty of Humanities
- Subjects:
- Translating and Interpreting
- Keywords:
- Translating interpreting -- Technological innovations Translating interpreting -- Study teaching Artificial intelligence
- Resource Type:
- Video
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Video
The PolyU Academy for Interdisciplinary Research (PAIR) of The Hong Kong Polytechnic University (PolyU) today hosted its inaugural Public Forum for Research and Innovation. Titled “DeepSeek and Beyond”, the keynote speech was delivered by Prof. YANG Hongxia, Associate Dean (Global Engagement) of the PolyU Faculty of Computer and Mathematical Sciences and Professor of the Department of Computing, who highlighted the latest developments in artificial intelligence (AI). The event attracted over a thousand participants, including faculty members, students, alumni, and leaders from the innovation and technology sector, as well as academics and the public. Additionally, over 390,000 viewers tuned in through the live streaming platforms.
The Forum began with a welcoming speech delivered by Prof. CHEN Qingyan, Director of PAIR and Chair Professor of Building Thermal Science of the PolyU Department of Building Environment and Energy Engineering. This was followed by Prof. ZHANG Chenqi, Chair Professor of Artificial Intelligence of the PolyU Department of Data Science and Artificial Intelligence, and Director of the PolyU Shenzhen Research Institute introducing the speaker.
Prof. Zhang said, “The development of large models is at the core of competition in the AI wave. DeepSeek has demonstrated that high-performance AI models can be achieved using fewer and less advanced graphics processing units (GPUs), demonstrating that cutting-edge AI technology can be realised through the optimisation of algorithms.”
The large AI model developed by the mainland Chinese startup DeepSeek has garnered wide acclaim around the world for its low-cost, high-performance, and open-source framework, disrupting the traditional “computing power-first” logic of AI model training. At the Forum, Prof. Yang highlighted the potential of generative AI (GenAI), adding that it presents abundant opportunities for various sectors, including healthcare, finance, manufacturing, retail, media and fashion, and for applications in medical imaging analysis, fraud detection, predictive maintenance, retail inventory management, content creation, and design and marketing.
Prof. Yang also recounted the evolution of AI and shared her professional milestones with the audience, notably the development of the M6 large model, which trained a 10-trillion-parameters model using just 512 GPUs. Prof. Yang further elaborated on how her GenAI project, Co-GenAI, improves the accessibility of AI technology while minimising dependence on large-scale centralised computing resources, thereby transforming the trajectory of AI progress. This ground-breaking effort has positioned Hong Kong and the Mainland at the forefront of global advancement in GenAI.
Moderated by Prof. Zhang Chenqi, a panel discussion was also held, featuring esteemed panellists Prof. Yang Hongxia and Prof. LI Qing, Head and Chair Professor of Data Science of the PolyU Department of Computing, and Co-Director of the Research Centre for Digital Transformation of Tourism. The scholars discussed the opportunities and challenges that advancements in AI present for higher education and research. They also engaged in fruitful discussion with participants during the question-and-answer session. The topics included the application of AI in industry, the regulation of information, its impact on the employment environment and economic development, and the integration of AI technologies.
PolyU is committed to advancing AI education and research. In January 2025, the University established the Faculty of Computer and Mathematical Sciences with a vision to lead global advancements in digital transformation and AI through distinguished education, research, and knowledge transfer.
Event date: 11/03/2025
Speaker: Prof. YANG Hongxia
Hosted by: PolyU Academy for Interdisciplinary Research
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Video
The seminar began with a warm welcome by Prof. CHEN Qingyan, Director of PAIR, followed by a brief introduction of the speaker by Mr Gavin NGAI, Deputy Director of the Global Engagement Office. Dr Tzezana commenced his presentation by identifying the common myths about AI and discussing how these myths hinder public awareness of AI’s rapid development in various fields. He then projected AI’s capabilities towards the end of the decade, suggesting that AI would soon outperform humans in many areas. Dr Tzezanna also examined the broader implications of these advancements, particularly their impact on the future of work, and offered insights into the skills and knowledge areas essential for staying competitive and successful in this rapidly evolving landscape.
Event date: 24/9/2024
Speaker: Dr Roey TZEZANA
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Mechanical Engineering and Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence
- Resource Type:
- Video
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Video
The seminar began with a warm welcome by Prof. ZHANG Weixiong, Associate Director of PAIR, followed by a brief introduction of the speaker by Prof. ZHANG Chengqi, Chair Professor of Artificial Intelligence. Prof. Liu kick-started his presentation by outlining the key milestones in the evolution of robotics, and pointed out that human-centred intelligent robots should be able to co-exist, cooperate and collaborate with humans. He stated that robotics is a truly interdisciplinary field that combines engineering, science and humanities. Next, through a series of case studies, Prof. Liu examined how intelligent robots have been designed to work alongside humans in various applications, including civil infrastructure maintenance, construction, and manufacturing. He then discussed the dynamics of collaboration between humans and robots, and examined issues such as trust, computational modelling, physical and cognitive workload, brain-robot interface and human-centred design. By reflecting on the lessons learnt from these case studies, Prof. Liu highlighted both successes and challenges. At the end of his presentation, Prof. Liu emphasised that human-robot teaming is an interdisciplinary field. He also pointed out some areas for further development in the field, highlighting the many opportunities in robotics.
Event date: 10/10/2024
Speaker: Prof. LIU Dikai
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Mechanical Engineering and Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Robotics Human-robot interaction
- Resource Type:
- Video
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MOOC
Explore the frontiers of technology, predict the future, and thrive in an ever-changing world. Our immersive course combines cutting-edge insights, expert guidance, and creative vision to help you become a disruptor, not a bystander. From emerging technology to AI to storytelling and speculative design, gain the knowledge and skills to shape tomorrow's opportunities. Embrace innovation, foresee challenges, and chart your path in the era of disruption. Join us now and unlock your potential to lead and innovate in a dynamic digital landscape.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Technology Information technology Artificial intelligence
- Resource Type:
- MOOC